Partial least squares-discriminant analysis (PLS-DA) for classification of high-dimensional (HD) data: a review of contemporary practice strategies and knowledge gaps

Short summary

This review outlines contemporary practice strategies and identifies knowledge gaps for Partial Least Squares-Discriminant Analysis (PLS-DA), a versatile algorithm for modeling high-dimensional data, particularly in the context of evolving big data challenges.

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